AI Engineer

Overview

Work on complex problems in life-saving implantable medical devices, using machine learning, AI, statistical modeling, data mining and visualization to deliver analytics solutions for internal and external stakeholders.

What you'll do

• Standardize, curate, and extract deep insights from complex clinical datasets.
• Design, develop, and deploy scalable AI, ML, and GenAI applications on the Databricks platform.
• Automate repetitive business processes, analytics workflows, reporting, and operational tasks using notebooks, workflows, jobs, and AI agents.
• Build and operationalize machine learning and Generative AI solutions using MLflow, Model Serving, Mosaic AI, and MLOps best practices.
• Design scalable and maintainable solution architectures integrating Databricks with enterprise data sources and business applications.
• Develop reusable APIs, libraries, notebooks, and frameworks to accelerate AI solution development.
• Optimize AI applications for performance, scalability, reliability, and infrastructure cost.
• Build and maintain robust data pipelines, orchestration workflows, and deployment pipelines within the Databricks ecosystem.
• Monitor production of AI applications, models, and workflows to ensure reliability, governance, security, and compliance.
• Evaluate and adopt emerging AI capabilities within the Databricks ecosystem to improve productivity and business value.
• Collaborate with Data Scientists, Data Engineers, Product Owners, and business stakeholders to deliver end-to-end AI products.
• Drive AI engineering with best practices, code quality, testing, documentation, and reusable solution patterns.

What you'll need

• Minimum 4 years of work experience.
• Bachelor's degree in engineering or science field (for example biomedical engineering, biotechnology, bioinformatics, biostatistics or similar) with a demonstrable focus on programming and data analysis.
• Familiarity with at least one programming language (Python, PySpark, SQL, R).
• Familiarity with AI tools.

Nice to have

• Work experience preferably on GenAI focused projects.
• Knowledge of at least one database software (Databricks/SQL).

Details

• Location: Mumbai, BKC Building, India.
• Work shift: Standard.
• Collaboration with cross-functional teams in India and the US.
• Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day).